Convert PDF, DOC, and images to Markdown using Datalab.to API

This n8n workflow converts various file formats (.pdf, .doc, .png, .jpg, .webp) to clean markdown text using the [datalab.to](https://datalab.to) API. Perfect for AI agents, LLM processing, and RAG (Retrieval Augmented Generation) data preparation for vector databases.

Workflow Description

Input - Trigger Node: Form trigger or webhook to accept file uploads - Supported Formats: PDF documents, Word documents (.doc/.docx), and images (PNG, JPG, WEBP)

Processing Steps 1. File Validation: Check file type and size constraints 2. HTTP Request Node: - Method: POST to https://api.datalab.to/v1/marker - Headers: X-API-Key with your datalab.to API key - Body: Multipart form data with the file 3. Response Processing: Extract the converted markdown text 4. Output Formatting: Clean and structure the markdown for downstream use

Output - Clean, structured markdown text ready for: - LLM prompt injection - Vector database ingestion - AI agent knowledge base processing - Document analysis workflows

Setup Instructions 1. Get API Access: Sign up at [datalab.to](https://www.datalab.to/app/dashboard) to obtain your API key 2. Configure Credentials: - Create a new credential in n8n - Add Generic Header: X-API-Key with your API key as the value 3. Import Workflow: Ready to process files immediately

Use Cases - AI Workflows: Convert documents for LLM analysis and processing - RAG Systems: Prepare clean text for vector database ingestion - Content Management: Batch convert files to searchable markdown format - Document Processing: Extract text from mixed file types in automated pipelines

The workflow handles the complexity of different file formats while delivering consistent, AI-ready markdown output for your automation needs.